RT info:eu-repo/semantics/article
T1 Design of hybrids for the minimum sum-of-squares clustering problem
A1 Pacheco Bonrostro, Joaquín
A1 Valencia García, Olga
K1 Clusterization
K1 Metaheuristics
K1 Tabu search
K1 Genetic algorithms
K1 Memetic algorithms
K1 Hybrid algorithms
K1 Estadística matemática
K1 Mathematical statistics
AB A series of metaheuristic algorithms is proposed and analyzed for the non-hierarchical clustering problem under the criterion of minimum sum-of-squares clustering. These algorithms incorporate genetic operators and local search and tabu search procedures. The aim is to obtain quality solutions with short computation times. A series of computational experiments has been performed. The proposed algorithms obtain better results than previously reported methods, especially with a small number of clusters.
PB Elsevier
SN 0167-9473
YR 2003
FD 2003-06
LK http://hdl.handle.net/10259/8477
UL http://hdl.handle.net/10259/8477
LA eng
DS Repositorio Institucional de la Universidad de Burgos
RD 09-may-2024